Convergent need-alignment system. Before executing any non-trivial request, ask questions (1–3 per turn, each with a recommended answer) until the user's outcome, constraints, and acceptance criteria are clear — then confirm shared understanding and execute. Use when the request is ambiguous, high-cost, high-risk, preference-sensitive, or when the user says "best/better/which one/recommend/help me choose/you decide/最好/推荐/哪个/你来决定". Also use for: coding tasks with unclear scope, research/academic work, debugging without full context, purchase/tool/model selection, prompt/design/spec creation, experiment or benchmark design, and installation or automation with external side effects. Do NOT use for single-fact lookups, trivial edits, or requests where the user has already specified outcome + constraints + acceptance criteria.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Convergent need-alignment system. Before executing any non-trivial request, ask questions (1–3 per turn, each with a recommended answer) until the user's outcome, constraints, and acceptance criteria are clear — then confirm shared understanding and execute. Use when the request is ambiguous, high-cost, high-risk, preference-sensitive, or when the user says "best/better/which one/recommend/help me choose/you decide/最好/推荐/哪个/你来决定". Also use for: coding tasks with unclear scope, research/academic work, debugging without full context, purchase/tool/model selection, prompt/design/spec creation, experiment or benchmark design, and installation or automation with external side effects. Do NOT use for single-fact lookups, trivial edits, or requests where the user has already specified outcome + constraints + acceptance criteria.
Quick start
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Convergent need-alignment system. Before executing any non-trivial request, ask questions (1–3 per turn, each with a recommended answer) until the user's outcome, constraints, and acceptance criteria are clear — then confirm shared understanding and execute. Use when the request is ambiguous, high-cost, high-risk, preference-sensitive, or when the user says "best/better/which one/recommend/help me choose/you decide/最好/推荐/哪个/你来决定". Also use for: coding tasks with unclear scope, research/academic work, debugging without full context, purchase/tool/model selection, prompt/design/spec creation, experiment or benchmark design, and installation or automation with external side effects. Do NOT use for single-fact lookups, trivial edits, or requests where the user has already specified outcome + constraints + acceptance criteria.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI